results2_ara_t5_v2

This model is a fine-tuned version of bakrianoo/t5-arabic-base on an unknown dataset. It achieves the following results on the evaluation set:

• Gen Len: 19.0
• Loss: 0.0003
• Rouge1: 0.0875
• Rouge2: 0.0046
• Rougel: 0.0871
• Rougelsum: 0.0873

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0005
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Gen Len	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.3562	3.43	500	18.7896	0.0070	0.0966	0.0037	0.097	0.0965
0.0156	6.86	1000	19.0	0.0003	0.0875	0.0046	0.0871	0.0873

Framework versions

• Transformers 4.40.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2